In the development of the Semantic Web researchers and industry experts agree that scalability can only be obtained by reducing standard reasoning tasks to query evaluation over (deductive) databases. From a theoretical viewpoint much has been done. Conversely, from a practical point of view, only a few reasoning services have been developed, which however typically can only deal with lightweight ontologies. To fill the gap, the paper presents owl2dlv, a modern Datalog system for evaluating SPARQL queries over very large OWL 2 knowledge bases. owl2dlv builds on the well-known ASP system dlv by incorporating novel optimizations sensibly reducing memory consumption and a server-like behavior to support multiple-query scenarios. The high potential of owl2dlv is outlined by the results of an experiment on data-intensive benchmarks, and confirmed by the interest of a major international industrial player, which has stimulated and partially supported the work.

Querying large expressive horn ontologies

Alviano M.;Calimeri F.;Costabile R.;Cuteri B.;Fiorentino A.;Fusca D.;Germano S.;Laboccetta G.;Leone N.;Manna M.;Perri S.;Reale K.;Ricca F.;Veltri P.;Zangari J.
2019

Abstract

In the development of the Semantic Web researchers and industry experts agree that scalability can only be obtained by reducing standard reasoning tasks to query evaluation over (deductive) databases. From a theoretical viewpoint much has been done. Conversely, from a practical point of view, only a few reasoning services have been developed, which however typically can only deal with lightweight ontologies. To fill the gap, the paper presents owl2dlv, a modern Datalog system for evaluating SPARQL queries over very large OWL 2 knowledge bases. owl2dlv builds on the well-known ASP system dlv by incorporating novel optimizations sensibly reducing memory consumption and a server-like behavior to support multiple-query scenarios. The high potential of owl2dlv is outlined by the results of an experiment on data-intensive benchmarks, and confirmed by the interest of a major international industrial player, which has stimulated and partially supported the work.
Datalog; DLV; Ontology-based query answering
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/297994
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact